Prospective methodologies in hybrid renewable energy systems for energy prediction using artificial neural networks
This paper presents a comprehensive review of machine learning (ML) based approaches,
especially artificial neural networks (ANNs) in time series data prediction problems …
especially artificial neural networks (ANNs) in time series data prediction problems …
Review of mapping analysis and complementarity between solar and wind energy sources
R Pedruzzi, AR Silva, TS dos Santos, AC Araujo… - Energy, 2023 - Elsevier
This review aims to identify the available methodologies, data, and techniques for mapping
the potential of solar and wind energy and its complementarity and to provide significant …
the potential of solar and wind energy and its complementarity and to provide significant …
The High-Resolution Rapid Refresh (HRRR): An hourly updating convection-allowing forecast model. Part I: Motivation and system description
DC Dowell, CR Alexander, EP James… - Weather and …, 2022 - journals.ametsoc.org
Abstract The High-Resolution Rapid Refresh (HRRR) is a convection-allowing
implementation of the Advanced Research version of the Weather Research and …
implementation of the Advanced Research version of the Weather Research and …
[HTML][HTML] On bridging a modeling scale gap: Mesoscale to microscale coupling for wind energy
Accurately representing flow across the mesoscale to the microscale is a persistent
roadblock for completing realistic microscale simulations. The science challenges that must …
roadblock for completing realistic microscale simulations. The science challenges that must …
Representation of boundary-layer processes in numerical weather prediction and climate models
JM Edwards, ACM Beljaars, AAM Holtslag… - Boundary-Layer …, 2020 - Springer
Boundary-layer schemes are essential components of numerical weather-forecasting and
climate models. From simple beginnings 50 years ago, they have grown in sophistication …
climate models. From simple beginnings 50 years ago, they have grown in sophistication …
[HTML][HTML] Temporal collaborative attention for wind power forecasting
Wind power serves as a clean and sustainable form of energy. However, its generation is
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …
[PDF][PDF] Accurate weather forecasting with dominant gradient boosting using machine learning
S Babu Nuthalapati, A Nuthalapati - Int. J. Sci. Res. Arch, 2024 - researchgate.net
This Paper examines the interesting topic of weather forecasting using ML. From kaggle.
com, there is an extensive list of daily weather records for a Seattle dataset. In this chapter …
com, there is an extensive list of daily weather records for a Seattle dataset. In this chapter …
[HTML][HTML] The second wind forecast improvement project (WFIP2): Observational field campaign
JM Wilczak, M Stoelinga, LK Berg… - Bulletin of the …, 2019 - journals.ametsoc.org
The Second Wind Forecast Improvement Project (WFIP2): Observational Field Campaign in:
Bulletin of the American Meteorological Society Volume 100 Issue 9 (2019) Jump to …
Bulletin of the American Meteorological Society Volume 100 Issue 9 (2019) Jump to …
[HTML][HTML] The second wind forecast improvement project (wfip2): general overview
Akish, E., L. Bianco, IV Djalalova, JM Wilczak, J. Olson, J. Freedman, C. Finley, and J. Cline,
2019: Measuring the impact of additional instrumentation on the skill of numerical weather …
2019: Measuring the impact of additional instrumentation on the skill of numerical weather …
[HTML][HTML] The December 2021 Marshall Fire: Predictability and gust forecasts from operational models
We analyzed meteorological conditions that occurred during the December 2021 Boulder,
Colorado, downslope windstorm. This event is of particular interest due to the ignition and …
Colorado, downslope windstorm. This event is of particular interest due to the ignition and …